Frederik PRIEM

My research interests cover urban remote sensing and urban modeling. My current work focuses on producing reliable and detailed land-cover data for urban hydrologists and climatologists to parametrize hydrological and climatological models. I make synergetic use of hyperspectral imagery and LiDAR data to produce urban land-cover data with a high level of spatial and thematic detail. Using spectral unmixing approaches, I also analyse how an optimal trade-off between spatial coverage and thematic-spatial detail can be achieved. In the second phase of my PhD research, I will focus on developing a modelling approach that integrates neigbourhood based representations of human activity, as used in an agent-based urban growth model for the Brussels metropolitan area, with grid based representations of urban form, as used by hydrologists and urban climatologists. The outcome of my research should provide architects, urban planners, policy makers and other interest groups with a tool that would allow them to assess the climatological-hydrological impact of future urban development. The tool should also allow one to assess the impact of different urban development strategies on urban heat and water regulation.

My expertise includes:

• Urban remote sensing
• Synergetic use of hyperspectral and LiDAR data for land-cover modeling
• Dimensionality reduction of hyperspectral datasets
• Matlab and Python programming
• UrbanSim

Developing a generic framework for library based multi-site mapping of urban areas (GENLIB)
STEREO III (Support to the Exploitation and Research in Earth Observation data 3), Belgian Science Policy Office (BELSPO)  | 2019–2022
Coordinator: Frank Canters (VUB)
Other partners: Ben Somers (KULeuven), Uta Heiden (DLR, Germany)

Urban ecosystem analysis supported by remote sensing (URBANEARS)
STEREO III (Support to the Exploitation and Research in Earth Observation data 3), Belgian Science Policy Office (BELSPO)  | 2014–2018
Coordinator: Ben Somers (KU Leuven)
Other partners: Frank Canters (VUB), Robert De Wulf (UGent), Frieke Van Coillie (UGent), Martin Hermy (KU Leuven), Boud Verbeiren (VUB), Willy Bauwens (VUB)

Spatial analysis of rural poverty in the Gilgel Gibe catchment, SW–Ethiopia
Master thesis (VUB–KU Leuven), Vlaamse Interuniversitaire Raad – Bureau Universitaire Ontwikkelingssamenwerking (VLIR-UOS) | 2013–2014
Promotor: Prof. Dr. Anton Van Rompaey
Co-promotor: Dr. Kefelegn Getahun

Peer-reviewed journal articles

Priem, F., Stessens, P., Canters, F. (2020). Microsimulation of residential activity for alternative urban development scenarios: a case study on Brussels and Flemish Brabant. Sustainability, 12, 6: 1-28. doi: 10.3390/su12062370.

Priem, F., Okujeni, A., van der Linden, S., Canters, F. (2019). Comparing map-based and library-based training approaches for urban land-cover fraction mapping from Sentinel-2 imagery. International Journal of Applied Earth Observation and Geoinformation, 78: 295-305, doi: 10.1016/j.jag.2019.02.003.

van der Linden, S., Okujeni, A., Canters, F., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Somers, B., Thiel, F. (2019). Imaging spectroscopy of urban environments. Surveys in Geophysics, 40: 471-488, doi: 10.1007/s10712-018-9486-y.

Okujeni, A., Canters, F., Cooper, S.D., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Roberts, D.A., Somers, B., van der Linden, S. (2018). Generalizing machine-learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities. Remote Sensing of Environment, 216: 482-496, doi: 10.1016/j.rse.2018.07.011.

Priem, F., Canters, F. (2016). Synergistic Use of LiDAR and APEX Hyperspectral Data for High-Resolution Urban Land Cover Mapping. Remote Sensing, 8, 787: 1−22, doi:10.3390/rs8100787.

Practical sessions Cartografie (BA Geografie)